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Record W4312066211 · doi:10.1177/10775595221147315

Impact of Children’s Presence on Police Responses to Domestic Violence Call Situations

2022· article· en· W4312066211 on OpenAlexafffundabout
Angela Hovey, B. J. Rye, Evan George, Susan Scott, Lori Chambers

Bibliographic record

VenueChild Maltreatment · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of WaterlooSt. Jerome's UniversityLakehead University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychological interventionDomestic violenceContext (archaeology)Suicide preventionPoison controlInjury preventionHuman factors and ergonomicsPsychologyOccupational safety and healthCriminologyMedicinePsychiatryMedical emergencyGeography

Abstract

fetched live from OpenAlex

The link between children exposed to intimate partner violence (IPV) and child maltreatment is well established; however, less is known about the impact children’s presence may have on domestic violence disputes. This study investigated the role of children’s presence in IPV police calls using data ( N = 2709) from supplementary reports provided by an Ontario, Canada police force, one-third of which led to criminal charges ( n = 909). When children were present: charges were less likely to be laid; the accused’s emotional state was more likely to be rated by police as calm and the accused was less likely to be identified as using alcohol and/or drugs at the time of the call; and victim support interventions were more likely to be offered and accepted. Findings were considered in the context of when charges were laid versus not laid. Implications for police and support service interventions were discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.356
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes3
Has abstractyes

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